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https://api.github.com/repos/huggingface/datasets/issues/6670 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6670/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6670/comments | https://api.github.com/repos/huggingface/datasets/issues/6670/events | https://github.com/huggingface/datasets/issues/6670 | 2,138,372,958 | I_kwDODunzps5_dPte | 6,670 | ValueError | {
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"body": "Hi @prashanth19bolukonda,\r\n\r\nYou have to restart the notebook runtime session after the installation of `datasets`.\r\n\r\nDuplicate of:\r\n- #5923",
"created_at": "2024-02-16T14:43:47Z",
"html_url": "https://github.com/huggingface/datasets/issues/6670#... | 2024-02-16T11:05:17Z | 2024-02-17T04:26:34Z | 2024-02-16T14:43:53Z | NONE | null | null | {
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} | ### Describe the bug
ValueError Traceback (most recent call last)
[<ipython-input-11-9b99bc80ec23>](https://localhost:8080/#) in <cell line: 11>()
9 import numpy as np
10 import matplotlib.pyplot as plt
---> 11 from datasets import DatasetDict, Dataset
12 from transf... | {
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https://api.github.com/repos/huggingface/datasets/issues/6668 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6668/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6668/comments | https://api.github.com/repos/huggingface/datasets/issues/6668/events | https://github.com/huggingface/datasets/issues/6668 | 2,137,859,935 | I_kwDODunzps5_bSdf | 6,668 | Chapter 6 - Issue Loading `cnn_dailymail` dataset | {
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"completed": 0,
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} | ### Describe the bug
So I am getting this bug when I try to run cell 4 of the Chapter 6 notebook code:
`dataset = load_dataset("ccdv/cnn_dailymail", version="3.0.0")`
Error Message:
```
---------------------------------------------------------------------------
ValueError Tracebac... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6667 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6667/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6667/comments | https://api.github.com/repos/huggingface/datasets/issues/6667/events | https://github.com/huggingface/datasets/issues/6667 | 2,137,769,552 | I_kwDODunzps5_a8ZQ | 6,667 | Default config for squad is incorrect | {
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"body": "you can try: pip install datasets==2.16.1",
"created_at": "2024-02-23T09:09:59Z",
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"completed": 0,
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} | ### Describe the bug
If you download Squad, it will download the plain_text version, but the config still specifies "default", so if you set the offline mode the cache will try to look it up according to the config_id which is "default" and this will say;
ValueError: Couldn't find cache for squad for config 'default'... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6663 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6663/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6663/comments | https://api.github.com/repos/huggingface/datasets/issues/6663/events | https://github.com/huggingface/datasets/issues/6663 | 2,135,480,811 | I_kwDODunzps5_SNnr | 6,663 | `write_examples_on_file` and `write_batch` are broken in `ArrowWriter` | {
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"body": "Thanks for reporting! I've left some comments on the PR on how to fix this recent change rather than reverting it.",
"created_at": "2024-02-15T18:41:36Z",
"html_url": "https://github.com/huggingface/datasets/issues/6663#issuecomment-1946919978",
"... | 2024-02-15T01:43:27Z | 2024-02-16T09:25:00Z | 2024-02-16T09:25:00Z | CONTRIBUTOR | null | null | {
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} | ### Describe the bug
`write_examples_on_file` and `write_batch` are broken in `ArrowWriter` since #6636. The order between the columns and the schema is not preserved anymore. So these functions don't work anymore unless the order happens to align well.
### Steps to reproduce the bug
Try to do `write_batch` with any... | {
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https://api.github.com/repos/huggingface/datasets/issues/6665 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6665/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6665/comments | https://api.github.com/repos/huggingface/datasets/issues/6665/events | https://github.com/huggingface/datasets/pull/6665 | 2,136,136,425 | PR_kwDODunzps5m9JgW | 6,665 | Allow SplitDict setitem to replace existing SplitInfo | {
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"created_at": "2024-02-15T10:21:25Z",
... | 2024-02-15T10:17:08Z | 2024-03-01T16:02:46Z | 2024-03-01T15:56:38Z | MEMBER | null | null | null | Fix this code provided by @clefourrier
```python
import datasets
import os
token = os.getenv("TOKEN")
results = datasets.load_dataset("gaia-benchmark/results_public", "2023", token=token, download_mode=datasets.DownloadMode.FORCE_REDOWNLOAD)
results["test"] = datasets.Dataset.from_list([row for row in resu... | {
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https://api.github.com/repos/huggingface/datasets/issues/6664 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6664/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6664/comments | https://api.github.com/repos/huggingface/datasets/issues/6664/events | https://github.com/huggingface/datasets/pull/6664 | 2,135,483,978 | PR_kwDODunzps5m67g0 | 6,664 | Revert the changes in `arrow_writer.py` from #6636 | {
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"created_at": "2024-02-15T01:52:11Z",
... | 2024-02-15T01:47:33Z | 2024-02-16T14:02:39Z | 2024-02-16T02:31:11Z | CONTRIBUTOR | null | null | null | #6636 broke `write_examples_on_file` and `write_batch` from the class `ArrowWriter`. I'm undoing these changes. See #6663.
Note the current implementation doesn't keep the order of the columns and the schema, thus setting a wrong schema for each column. | {
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https://api.github.com/repos/huggingface/datasets/issues/6662 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6662/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6662/comments | https://api.github.com/repos/huggingface/datasets/issues/6662/events | https://github.com/huggingface/datasets/pull/6662 | 2,132,425,812 | PR_kwDODunzps5mwgKP | 6,662 | fix: show correct package name to install biopython | {
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"created_at": "2024-03-01T16:08:25Z",
... | 2024-02-13T14:15:04Z | 2024-03-01T17:49:48Z | 2024-03-01T17:43:39Z | CONTRIBUTOR | null | null | null | When you try to download a dataset that uses [biopython](https://github.com/biopython/biopython), like `load_dataset("InstaDeepAI/multi_species_genomes")`, you get the error:
```
>>> from datasets import load_dataset
>>> dataset = load_dataset("InstaDeepAI/multi_species_genomes")
/home/j.vangoey/.pyenv/versions/m... | {
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https://api.github.com/repos/huggingface/datasets/issues/6660 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6660/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6660/comments | https://api.github.com/repos/huggingface/datasets/issues/6660/events | https://github.com/huggingface/datasets/pull/6660 | 2,131,977,011 | PR_kwDODunzps5mu9wU | 6,660 | Automatic Conversion for uint16/uint32 to Compatible PyTorch Dtypes | {
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"created_at": "2024-03-01T16:08:11Z",
... | 2024-02-13T10:24:33Z | 2024-03-01T19:01:57Z | 2024-03-01T18:52:37Z | CONTRIBUTOR | null | null | null | This PR addresses an issue encountered when utilizing uint16 or uint32 datatypes with datasets, followed by attempting to convert these datasets into PyTorch-compatible formats. Currently, doing so results in a TypeError due to incompatible datatype conversion, as illustrated by the following example:
```python
from ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6661 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6661/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6661/comments | https://api.github.com/repos/huggingface/datasets/issues/6661/events | https://github.com/huggingface/datasets/issues/6661 | 2,132,296,267 | I_kwDODunzps5_GEJL | 6,661 | Import error on Google Colab | {
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"body": "Hi! This can happen if an incompatible `pyarrow` version (`pyarrow<12.0.0`) has been imported before the `datasets` installation and the Colab session hasn't been restarted afterward. To avoid the error, go to \"Runtime -> Restart session\" after `!pip instal... | 2024-02-13T13:12:40Z | 2024-02-25T16:37:54Z | 2024-02-14T08:04:47Z | NONE | null | null | {
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} | ### Describe the bug
Cannot be imported on Google Colab, the import throws the following error:
ValueError: pyarrow.lib.IpcWriteOptions size changed, may indicate binary incompatibility. Expected 88 from C header, got 72 from PyObject
### Steps to reproduce the bug
1. `! pip install -U datasets`
2. `import dataset... | {
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https://api.github.com/repos/huggingface/datasets/issues/6659 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6659/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6659/comments | https://api.github.com/repos/huggingface/datasets/issues/6659/events | https://github.com/huggingface/datasets/pull/6659 | 2,129,229,810 | PR_kwDODunzps5mlmmo | 6,659 | Change default compression argument for JsonDatasetWriter | {
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"created_at": "2024-02-12T17:25:46Z",
... | 2024-02-11T23:49:07Z | 2024-03-01T17:51:50Z | 2024-03-01T17:44:55Z | CONTRIBUTOR | null | null | null | Change default compression type from `None` to "infer", to align with pandas' defaults.
Documentation asks the user to supply `to_json_kwargs` with arguments suitable for pandas' `to_json` method. At the same time, while pandas' by default uses ["infer"](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.... | {
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https://api.github.com/repos/huggingface/datasets/issues/6658 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6658/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6658/comments | https://api.github.com/repos/huggingface/datasets/issues/6658/events | https://github.com/huggingface/datasets/pull/6658 | 2,129,158,371 | PR_kwDODunzps5mlZyb | 6,658 | [Resumable IterableDataset] Add IterableDataset state_dict | {
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"created_at": "2024-02-11T20:40:13Z",
... | 2024-02-11T20:35:52Z | 2024-10-01T10:19:38Z | 2024-06-03T19:15:39Z | MEMBER | null | null | null | A simple implementation of a mechanism to resume an IterableDataset.
It works by restarting at the latest shard and skip samples. It provides fast resuming (though not instantaneous).
Example:
```python
from datasets import Dataset, concatenate_datasets
ds = Dataset.from_dict({"a": range(5)}).to_iterable_d... | {
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https://api.github.com/repos/huggingface/datasets/issues/6657 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6657/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6657/comments | https://api.github.com/repos/huggingface/datasets/issues/6657/events | https://github.com/huggingface/datasets/issues/6657 | 2,129,147,085 | I_kwDODunzps5-6DTN | 6,657 | Release not pushed to conda channel | {
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"body": "Thanks for reporting, @atulsaurav.\r\n\r\nWe are investigating the issue. ",
"created_at": "2024-02-12T08:01:08Z",
"html_url": "https://github.com/huggingface/datasets/issues/6657#issuecomment-1938196585",
"id": 1938196585,
"issue_url": "https://api... | 2024-02-11T20:05:17Z | 2024-03-06T15:06:22Z | 2024-03-06T15:06:22Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
The github actions step to publish the release 2.17.0 to conda channel has failed due to expired token. Can some one please update the anaconda token rerun the failed action? @albertvillanova ?
![image](https://github.com/huggingface/datasets/assets/7138162/1b56ad3d-7643-4778-9cce-4bf531717700... | {
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https://api.github.com/repos/huggingface/datasets/issues/6655 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6655/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6655/comments | https://api.github.com/repos/huggingface/datasets/issues/6655/events | https://github.com/huggingface/datasets/issues/6655 | 2,127,020,042 | I_kwDODunzps5-x8AK | 6,655 | Cannot load the dataset go_emotions | {
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"body": "Thanks for reporting, @arame.\r\n\r\nI guess you have an old version of `transformers` (that submodule is present in `transformers` since version 3.0.1, since nearly 4 years ago). If you update it, the error should disappear:\r\n```shell\r\npip install -U transform... | 2024-02-09T12:15:39Z | 2024-02-12T09:35:55Z | null | NONE | null | null | {
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} | ### Describe the bug
When I run the following code I get an exception;
`go_emotions = load_dataset("go_emotions")`
> AttributeError Traceback (most recent call last)
Cell In[6], [line 1](vscode-notebook-cell:?execution_count=6&line=1)
----> [1](vscode-notebook-cell:?execution_count=6&l... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6654 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6654/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6654/comments | https://api.github.com/repos/huggingface/datasets/issues/6654/events | https://github.com/huggingface/datasets/issues/6654 | 2,126,939,358 | I_kwDODunzps5-xoTe | 6,654 | Batched dataset map throws exception that cannot cast fixed length array to Sequence | {
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"body": "Hi ! This issue has been fixed by https://github.com/huggingface/datasets/pull/6283\r\n\r\nCan you try again with the new release 2.17.0 ?\r\n\r\n```\r\npip install -U datasets\r\n```\r\n\r\n",
"created_at": "2024-02-09T14:13:13Z",
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} | ### Describe the bug
I encountered a TypeError when batch processing a dataset with Sequence features in datasets package version 2.16.1. The error arises from a mismatch in handling fixed-size list arrays during the map function execution. Debugging pinpoints the issue to an if-statement in datasets/table.py, line 20... | {
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https://api.github.com/repos/huggingface/datasets/issues/6653 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6653/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6653/comments | https://api.github.com/repos/huggingface/datasets/issues/6653/events | https://github.com/huggingface/datasets/pull/6653 | 2,126,831,929 | PR_kwDODunzps5mdv5S | 6,653 | Set dev version | {
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"created_at": "2024-02-09T10:16:32Z",
... | 2024-02-09T10:12:02Z | 2024-02-09T10:18:20Z | 2024-02-09T10:12:12Z | MEMBER | null | null | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6656 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6656/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6656/comments | https://api.github.com/repos/huggingface/datasets/issues/6656/events | https://github.com/huggingface/datasets/issues/6656 | 2,127,338,377 | I_kwDODunzps5-zJuJ | 6,656 | Error when loading a big local json file | {
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"body": "I get similar when dealing with a large jsonl file (6k lines), \r\n\r\n> TypeError: Couldn't cast array of type timestamp[us] to null\r\n\r\nYet when I split it into 1k lines, files, load_dataset works fine!\r\n\r\nhttps://github.com/huggingface/course/issues/692\r\n... | 2024-02-09T15:14:21Z | 2024-11-29T10:06:57Z | null | NONE | null | null | {
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} | ### Describe the bug
When trying to load big json files from a local directory, `load_dataset` throws the following error
```
Traceback (most recent call last):
File "/miniconda3/envs/conda-env/lib/python3.10/site-packages/datasets/builder.py", line 1989, in _prepare_split_single
writer.write_table(table)
... | null | {
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} | ### Feature request
Support for slice splits in `datasets.load_from_disk`, similar to how it's already supported for `datasets.load_dataset`.
### Motivation
Slice splits are convienient in a numer of cases - adding support to `datasets.load_from_disk` would make working with local datasets easier and homogeniz... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6650 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6650/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6650/comments | https://api.github.com/repos/huggingface/datasets/issues/6650/events | https://github.com/huggingface/datasets/issues/6650 | 2,125,680,991 | I_kwDODunzps5-s1Ff | 6,650 | AttributeError: 'InMemoryTable' object has no attribute '_batches' | {
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"body": "Hi! Does running the following code also return the same error on your machine? \r\n\r\n```python\r\nimport copy\r\nimport pyarrow as pa\r\nfrom datasets.table import InMemoryTable\r\n\r\ncopy.deepcopy(InMemoryTable(pa.table({\"a\": [1, 2, 3], \"b\": [\"foo\... | 2024-02-08T17:11:26Z | 2024-02-21T00:34:41Z | null | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
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} | ### Describe the bug
```
Traceback (most recent call last):
File "finetune.py", line 103, in <module>
main(args)
File "finetune.py", line 45, in main
data_tokenized = data.map(partial(funcs.tokenize_function, tokenizer,
File "/opt/conda/envs/ptca/lib/python3.8/site-packages/datasets/dataset_dict.... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6649 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6649/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6649/comments | https://api.github.com/repos/huggingface/datasets/issues/6649/events | https://github.com/huggingface/datasets/pull/6649 | 2,124,940,213 | PR_kwDODunzps5mXRo8 | 6,649 | Minor multi gpu doc improvement | {
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... | 2024-02-08T11:17:24Z | 2024-02-08T11:23:35Z | 2024-02-08T11:17:35Z | MEMBER | null | null | null | just added torch.no_grad and eval() | {
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https://api.github.com/repos/huggingface/datasets/issues/6648 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6648/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6648/comments | https://api.github.com/repos/huggingface/datasets/issues/6648/events | https://github.com/huggingface/datasets/pull/6648 | 2,124,813,589 | PR_kwDODunzps5mW1MA | 6,648 | Document usage of hfh cli instead of git | {
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... | 2024-02-08T10:24:56Z | 2024-02-08T13:57:41Z | 2024-02-08T13:51:39Z | MEMBER | null | null | null | (basically the same content as the hfh upload docs, but adapted for datasets) | {
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https://api.github.com/repos/huggingface/datasets/issues/6647 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6647/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6647/comments | https://api.github.com/repos/huggingface/datasets/issues/6647/events | https://github.com/huggingface/datasets/pull/6647 | 2,123,397,569 | PR_kwDODunzps5mSB2B | 6,647 | Update loading.mdx to include "jsonl" file loading. | {
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"created_at": "2024-02-07T16:50:52Z",
... | 2024-02-07T16:18:08Z | 2024-02-08T15:34:17Z | null | NONE | null | null | null | * A small update to the documentation, noting the ability to load jsonl files. | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6645 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6645/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6645/comments | https://api.github.com/repos/huggingface/datasets/issues/6645/events | https://github.com/huggingface/datasets/issues/6645 | 2,122,956,818 | I_kwDODunzps5-icAS | 6,645 | Support fsspec 2024.2 | {
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"body": "I'd be very grateful. This upper bound banished me straight into dependency hell today. :(",
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First, we should address:
- #6644 | {
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https://api.github.com/repos/huggingface/datasets/issues/6644 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6644/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6644/comments | https://api.github.com/repos/huggingface/datasets/issues/6644/events | https://github.com/huggingface/datasets/issues/6644 | 2,122,955,282 | I_kwDODunzps5-iboS | 6,644 | Support fsspec 2023.12 | {
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"body": "The pinned fsspec version range dependency conflict has been affecting several of our users in https://github.com/iterative/dvc. I've opened an initial PR that I think should resolve the glob behavior changes with using datasets + the latest fsspec release.\r\... | 2024-02-07T12:44:39Z | 2024-02-29T15:12:18Z | 2024-02-29T15:12:18Z | MEMBER | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6646 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6646/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6646/comments | https://api.github.com/repos/huggingface/datasets/issues/6646/events | https://github.com/huggingface/datasets/pull/6646 | 2,123,134,128 | PR_kwDODunzps5mRIma | 6,646 | Better multi-gpu example | {
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"created_at": "2024-02-07T14:19:40Z",
... | 2024-02-07T14:15:01Z | 2024-02-09T17:43:32Z | 2024-02-07T14:59:11Z | MEMBER | null | null | null | Use Qwen1.5-0.5B-Chat as an easy example for multi-GPU
the previous example was using a model for translation and the way it was setup was not really the right way to use the model. | {
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https://api.github.com/repos/huggingface/datasets/issues/6640 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6640/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6640/comments | https://api.github.com/repos/huggingface/datasets/issues/6640/events | https://github.com/huggingface/datasets/issues/6640 | 2,115,864,531 | I_kwDODunzps5-HYfT | 6,640 | Sign Language Support | {
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} | ### Feature request
Currently, there are only several Sign Language labels, I would like to propose adding all the Signed Languages as new labels which are described in this ISO standard: https://www.evertype.com/standards/iso639/sign-language.html
### Motivation
Datasets currently only have labels for several signe... | null | {
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"body": "Hi @Hughhuh. \r\n\r\nI have formatted the issue because it was not easily readable. Additionally, the environment info is incomplete: it seems you did not run the proposed CLI command `datasets-cli env` and essential information is missing: version of `datasets`, v... | 2024-02-04T08:49:31Z | 2024-02-06T09:26:07Z | 2024-02-06T09:11:45Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
unicodedecodeerror: 'utf-8' codec can't decode byte 0xac in position 25: invalid start byte
### Steps to reproduce the bug
```
import sys
sys.getdefaultencoding()
'utf-8'
from datasets import load_dataset
print(f"Train dataset size: {len(dataset['train'])}")
print(f"Test datase... | {
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https://api.github.com/repos/huggingface/datasets/issues/6643 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6643/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6643/comments | https://api.github.com/repos/huggingface/datasets/issues/6643/events | https://github.com/huggingface/datasets/issues/6643 | 2,121,239,039 | I_kwDODunzps5-b4n_ | 6,643 | Faiss GPU index cannot be serialised when passed to trainer | {
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"author_association": "MEMBER",
"body": "Hi ! make sure your query embeddings are numpy arrays, not torch tensors ;)",
"created_at": "2024-02-08T10:39:53Z",
"html_url": "https://github.com/huggingface/datasets/issues/6643#issuecomment-1933797329",
"id": 1933797329,
"issue_url": "https://ap... | 2024-02-06T16:41:00Z | 2024-02-15T10:29:32Z | null | NONE | null | null | {
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} | ### Describe the bug
I am working on a retrieval project and encountering I have encountered two issues in the hugging face faiss integration:
1. I am trying to pass in a dataset with a faiss index to the Huggingface trainer. The code works for a cpu faiss index, but doesn't for a gpu one, getting error:
```
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6642 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6642/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6642/comments | https://api.github.com/repos/huggingface/datasets/issues/6642/events | https://github.com/huggingface/datasets/issues/6642 | 2,119,085,766 | I_kwDODunzps5-Tq7G | 6,642 | Differently dataset object saved than it is loaded. | {
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"body": "I see now, that I have to use `load_from_disk`, in order to load dataset properly, not `load_dataset`. Why is this behavior split? Why do we need both, `load_dataset` and `load_from_disk`?\r\n\r\nUnless answered, I believe this might be helpful for other hf datasets ... | 2024-02-05T17:28:57Z | 2024-02-06T09:50:19Z | 2024-02-06T09:50:19Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
Differently sized object is saved than it is loaded.
### Steps to reproduce the bug
Hi, I save dataset in a following way:
```
dataset = load_dataset("json",
data_files={
"train": os.path.join(input_folder, f"{task_met... | {
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https://api.github.com/repos/huggingface/datasets/issues/6639 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6639/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6639/comments | https://api.github.com/repos/huggingface/datasets/issues/6639/events | https://github.com/huggingface/datasets/pull/6639 | 2,114,620,200 | PR_kwDODunzps5l0KPG | 6,639 | Run download_and_prepare if missing splits | {
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"body": "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6639). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"created_at": "2024-02-02T10:40:46Z",
... | 2024-02-02T10:36:49Z | 2024-02-06T16:54:22Z | null | MEMBER | null | null | null | A first step towards https://github.com/huggingface/datasets/issues/6529 | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6638 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6638/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6638/comments | https://api.github.com/repos/huggingface/datasets/issues/6638/events | https://github.com/huggingface/datasets/issues/6638 | 2,113,329,257 | I_kwDODunzps599thp | 6,638 | Cannot download wmt16 dataset | {
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"body": "Looks like it works with latest datasets repository\r\n```\r\n- `datasets` version: 2.16.2.dev0\r\n- Platform: Linux-5.15.0-92-generic-x86_64-with-glibc2.29\r\n- Python version: 3.8.10\r\n- `huggingface_hub` version: 0.20.3\r\n- PyArrow version: 15.0.0\r\n- Pandas ve... | 2024-02-01T19:41:42Z | 2024-02-01T20:07:29Z | 2024-02-01T20:07:29Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
As of this morning (PST) 2/1/2024, seeing the wmt16 dataset is missing from opus , could you suggest an alternative?
```
Downloading data files: 0%| | 0/4 [00:00<?, ?it/s]Tra... | {
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https://api.github.com/repos/huggingface/datasets/issues/6637 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6637/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6637/comments | https://api.github.com/repos/huggingface/datasets/issues/6637/events | https://github.com/huggingface/datasets/issues/6637 | 2,113,025,975 | I_kwDODunzps598je3 | 6,637 | 'with_format' is extremely slow when used together with 'interleave_datasets' or 'shuffle' on IterableDatasets | {
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"body": "The \"torch\" formatting is usually fast because we do zero-copy conversion from the Arrow data on your disk to Torch tensors. However IterableDataset shuffling seems to do data copies that slow down the pipeline, and it shuffles python objects instead of Arrow dat... | 2024-02-01T17:16:54Z | 2024-02-05T10:43:47Z | null | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
If you:
1. Interleave two iterable datasets together with the interleave_datasets function, or shuffle an iterable dataset
2. Set the output format to torch tensors with .with_format('torch')
Then iterating through the dataset becomes over 100x slower than it is if you don't apply the torch... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6636 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6636/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6636/comments | https://api.github.com/repos/huggingface/datasets/issues/6636/events | https://github.com/huggingface/datasets/pull/6636 | 2,110,781,097 | PR_kwDODunzps5lm4zI | 6,636 | Faster column validation and reordering | {
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"created_at": "2024-02-01T15:13:27Z",
... | 2024-01-31T19:08:28Z | 2024-02-07T19:39:00Z | 2024-02-06T23:03:38Z | CONTRIBUTOR | null | null | null | I work with bioinformatics data and often these tables have thousands and even tens of thousands of features. These tables are also accompanied by metadata that I do not want to pass in the model. When I perform `set_format('pt', columns=large_column_list)` , it can take several minutes before it finishes. The culprit ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6635 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6635/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6635/comments | https://api.github.com/repos/huggingface/datasets/issues/6635/events | https://github.com/huggingface/datasets/pull/6635 | 2,110,659,519 | PR_kwDODunzps5lmeNO | 6,635 | Fix missing info when loading some datasets from Parquet export | {
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"created_at": "2024-01-31T17:59:33Z",
... | 2024-01-31T17:55:21Z | 2024-02-07T16:48:55Z | 2024-02-07T16:41:04Z | MEMBER | null | null | null | Fix getting the info for script-based datasets with Parquet export with a single config not named "default".
E.g.
```python
from datasets import load_dataset_builder
b = load_dataset_builder("bookcorpus")
print(b.info.features)
# should print {'text': Value(dtype='string', id=None)}
```
I fixed this by ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6634 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6634/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6634/comments | https://api.github.com/repos/huggingface/datasets/issues/6634/events | https://github.com/huggingface/datasets/pull/6634 | 2,110,242,376 | PR_kwDODunzps5llB9a | 6,634 | Support data_dir parameter in push_to_hub | {
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... | 2024-01-31T14:37:36Z | 2024-02-05T10:32:49Z | 2024-02-05T10:26:40Z | MEMBER | null | null | null | Support `data_dir` parameter in `push_to_hub`.
This allows users to organize the data files according to their specific needs. For example, "wikimedia/wikipedia" files could be organized by year and/or date, e.g. "2024/20240101/20240101.en". | {
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https://api.github.com/repos/huggingface/datasets/issues/6632 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6632/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6632/comments | https://api.github.com/repos/huggingface/datasets/issues/6632/events | https://github.com/huggingface/datasets/pull/6632 | 2,108,541,678 | PR_kwDODunzps5lfPuk | 6,632 | Fix reload cache with data dir | {
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... | 2024-01-30T18:52:23Z | 2024-02-06T17:27:35Z | 2024-02-06T17:21:24Z | MEMBER | null | null | null | The cache used to only check for the latest cache directory with a given config_name, but it was wrong (e.g. `default-data_dir=data%2Ffortran-data_dir=data%2Ffortran` instead of `default-data_dir=data%2Ffortran`)
I fixed this by not passing the `config_kwargs` to the parent Builder `__init__`, and passing the config... | {
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https://api.github.com/repos/huggingface/datasets/issues/6631 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6631/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6631/comments | https://api.github.com/repos/huggingface/datasets/issues/6631/events | https://github.com/huggingface/datasets/pull/6631 | 2,107,802,473 | PR_kwDODunzps5lcu9A | 6,631 | Fix filelock: use current umask for filelock >= 3.10 | {
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... | 2024-01-30T12:56:01Z | 2024-01-30T15:34:49Z | 2024-01-30T15:28:37Z | MEMBER | null | null | null | reported in https://github.com/huggingface/evaluate/issues/542
cc @stas00 @williamberrios
close https://github.com/huggingface/datasets/issues/6589 | {
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... | 2024-01-31T13:41:54Z | 2024-01-31T14:05:04Z | 2024-01-31T13:59:01Z | COLLABORATOR | null | null | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6630 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6630/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6630/comments | https://api.github.com/repos/huggingface/datasets/issues/6630/events | https://github.com/huggingface/datasets/pull/6630 | 2,106,478,275 | PR_kwDODunzps5lYPi3 | 6,630 | Bump max range of dill to 0.3.8 | {
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"created_at": "2024-01-29T22:22:22Z",
... | 2024-01-29T21:35:55Z | 2024-01-30T16:19:45Z | 2024-01-30T15:12:25Z | NONE | null | null | null | Release on Jan 27, 2024: https://pypi.org/project/dill/0.3.8/#history
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https://api.github.com/repos/huggingface/datasets/issues/6629 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6629/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6629/comments | https://api.github.com/repos/huggingface/datasets/issues/6629/events | https://github.com/huggingface/datasets/pull/6629 | 2,105,774,482 | PR_kwDODunzps5lV0aF | 6,629 | Support push_to_hub without org/user to default to logged-in user | {
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... | 2024-01-29T15:36:52Z | 2024-02-05T12:35:43Z | 2024-02-05T12:29:36Z | MEMBER | null | null | null | This behavior is aligned with:
- the behavior of `datasets` before merging #6519
- the behavior described in the corresponding docstring
- the behavior of `huggingface_hub.create_repo`
Revert "Support push_to_hub canonical datasets (#6519)"
- This reverts commit a887ee78835573f5d80f9e414e8443b4caff3541.
Fix... | {
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"created_at": "2024-01-29T15:34:36Z",
... | 2024-01-29T15:30:09Z | 2024-02-05T10:29:20Z | 2024-02-05T10:23:13Z | MEMBER | null | null | null | Support passing `--num_proc` to CLI test.
This was really useful recently to run the command on `pubmed`: https://huggingface.co/datasets/pubmed/discussions/11 | {
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https://huggingface.co/datasets/laion/laion-coco | {
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... | 2024-01-29T13:17:41Z | 2024-01-29T15:18:25Z | 2024-01-29T15:12:18Z | MEMBER | null | null | null | e.g. dashes '-' are not allowed in split names
This should add an error message on datasets with unsupported split names like https://huggingface.co/datasets/open-source-metrics/test
cc @AndreaFrancis | {
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"body": "This should now be fixed by https://github.com/huggingface/datasets/pull/6550 and updated with https://github.com/huggingface/datasets/pull/6646\r\n\r\nFeel free to re-open if you're still having issues :)",
"created_at": "2024-02-08T11:18:21Z",
"html_url":... | 2024-01-27T20:06:08Z | 2024-02-08T11:18:21Z | 2024-02-08T11:18:21Z | NONE | null | null | {
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} | ### Describe the bug
Here is the code for single-GPU processing: https://pastebin.com/bfmEeK2y
Here is the code for multi-GPU processing: https://pastebin.com/gQ7i5AQy
Here is the video showing that the multi-GPU mapping does not work as expected (there are so many things wrong here, it's better to watch the 3-min... | {
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https://api.github.com/repos/huggingface/datasets/issues/6623 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6623/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6623/comments | https://api.github.com/repos/huggingface/datasets/issues/6623/events | https://github.com/huggingface/datasets/issues/6623 | 2,103,870,123 | I_kwDODunzps59ZoKr | 6,623 | streaming datasets doesn't work properly with multi-node | {
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"body": "@mariosasko, @lhoestq, @albertvillanova\r\nhey guys! can anyone help? or can you guys suggest who can help with this?",
"created_at": "2024-01-30T19:55:37Z",
"html_url": "https://github.com/huggingface/datasets/issues/6623#issuecomment-1917785282",
"id": ... | 2024-01-27T23:46:13Z | 2024-10-16T00:55:19Z | null | NONE | null | null | {
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} | ### Feature request
Let’s say I have a dataset with 5 samples with values [1, 2, 3, 4, 5], with 2 GPUs (for DDP) and batch size of 2. This dataset is an `IterableDataset` since I am streaming it.
Now I split the dataset using `split_dataset_by_node` to ensure it doesn’t get repeated. And since it’s already splitt... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6620 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6620/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6620/comments | https://api.github.com/repos/huggingface/datasets/issues/6620/events | https://github.com/huggingface/datasets/issues/6620 | 2,103,110,536 | I_kwDODunzps59WuuI | 6,620 | wiki_dpr.py error (ID mismatch between lines {id} and vector {vec_id} | {
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"body": "Thanks for reporting, @kiehls90.\r\n\r\nAs this seems an issue with the specific \"wiki_dpr\" dataset, I am transferring the issue to the corresponding dataset page: https://huggingface.co/datasets/wiki_dpr/discussions/13",
"created_at": "2024-02-06T09:40:07Z",... | 2024-01-27T01:00:09Z | 2024-02-06T09:40:19Z | 2024-02-06T09:40:19Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
I'm trying to run a rag example, and the dataset is wiki_dpr.
wiki_dpr download and extracting have been completed successfully.
However, at the generating train split stage, an error from wiki_dpr.py keeps popping up.
Especially in "_generate_examples" :
1. The following error occurs in the... | {
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https://api.github.com/repos/huggingface/datasets/issues/6619 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6619/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6619/comments | https://api.github.com/repos/huggingface/datasets/issues/6619/events | https://github.com/huggingface/datasets/pull/6619 | 2,102,407,478 | PR_kwDODunzps5lK2VY | 6,619 | Migrate from `setup.cfg` to `pyproject.toml` | {
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"body": "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6619). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"created_at": "2024-01-26T15:31:21Z",
... | 2024-01-26T15:27:10Z | 2024-01-26T15:53:40Z | 2024-01-26T15:47:32Z | COLLABORATOR | null | null | null | Based on https://github.com/huggingface/huggingface_hub/pull/1971 in `hfh` | {
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https://api.github.com/repos/huggingface/datasets/issues/6627 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6627/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6627/comments | https://api.github.com/repos/huggingface/datasets/issues/6627/events | https://github.com/huggingface/datasets/pull/6627 | 2,105,735,816 | PR_kwDODunzps5lVr-t | 6,627 | Disable `tqdm` bars in non-interactive environments | {
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"body": "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6627). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"created_at": "2024-01-29T15:24:30Z",
... | 2024-01-29T15:18:21Z | 2024-01-29T15:47:34Z | 2024-01-29T15:41:32Z | COLLABORATOR | null | null | null | Replace `disable=False` with `disable=None` in the `tqdm` bars to disable them in non-interactive environments (by default).
For more info, see a [similar PR](https://github.com/huggingface/huggingface_hub/pull/2000) in `huggingface_hub`. | {
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https://api.github.com/repos/huggingface/datasets/issues/6618 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6618/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6618/comments | https://api.github.com/repos/huggingface/datasets/issues/6618/events | https://github.com/huggingface/datasets/issues/6618 | 2,101,868,198 | I_kwDODunzps59R_am | 6,618 | While importing load_dataset from datasets | {
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"body": "Hi! Can you please share the error's stack trace so we can see where it comes from?",
"created_at": "2024-01-26T16:47:46Z",
"html_url": "https://github.com/huggingface/datasets/issues/6618#issuecomment-1912367931",
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"issue_url... | 2024-01-26T09:21:57Z | 2024-07-23T09:31:07Z | 2024-02-06T09:25:54Z | NONE | null | null | {
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} | ### Describe the bug
cannot import name 'DEFAULT_CIPHERS' from 'urllib3.util.ssl_' this is the error i received
### Steps to reproduce the bug
from datasets import load_dataset
### Expected behavior
No errors
### Environment info
python 3.11.5 | {
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https://api.github.com/repos/huggingface/datasets/issues/6617 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6617/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6617/comments | https://api.github.com/repos/huggingface/datasets/issues/6617/events | https://github.com/huggingface/datasets/pull/6617 | 2,100,459,449 | PR_kwDODunzps5lEagV | 6,617 | Fix CI: pyarrow 15, pandas 2.2 and sqlachemy | {
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"created_at": "2024-01-25T14:02:19Z",
... | 2024-01-25T13:57:41Z | 2024-01-26T14:56:46Z | 2024-01-26T14:50:44Z | MEMBER | null | null | null | this should fix the CI failures on `main`
close https://github.com/huggingface/datasets/issues/5477 | {
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https://api.github.com/repos/huggingface/datasets/issues/6615 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6615/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6615/comments | https://api.github.com/repos/huggingface/datasets/issues/6615/events | https://github.com/huggingface/datasets/issues/6615 | 2,098,951,409 | I_kwDODunzps59G3Tx | 6,615 | ... | {
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"body": "Sorry I posted in the wrong repo, please delete.. thanks!",
"created_at": "2024-01-24T19:42:30Z",
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} | ### Feature request
Splitting off https://github.com/huggingface/huggingface_hub/issues/1997 - currently `huggingface-cli delete-cache` doesn't take care of cleaning `datasets` temp files
e.g. I discovered having millions of files under `datasets/downloads` cache, I had to do:
```
sudo find /data/huggingface/... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6616 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6616/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6616/comments | https://api.github.com/repos/huggingface/datasets/issues/6616/events | https://github.com/huggingface/datasets/pull/6616 | 2,100,125,709 | PR_kwDODunzps5lDSEL | 6,616 | Use schema metadata only if it matches features | {
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"body": "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6616). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"created_at": "2024-01-25T11:05:47Z",
... | 2024-01-25T11:01:14Z | 2024-01-26T16:25:24Z | 2024-01-26T16:19:12Z | MEMBER | null | null | null | e.g. if we use `map` in arrow format and transform the table, the returned table might have new columns but the metadata might be wrong | {
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https://api.github.com/repos/huggingface/datasets/issues/6612 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6612/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6612/comments | https://api.github.com/repos/huggingface/datasets/issues/6612/events | https://github.com/huggingface/datasets/issues/6612 | 2,098,078,210 | I_kwDODunzps59DiIC | 6,612 | cnn_dailymail repeats itself | {
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{
"author_association": "MEMBER",
"body": "Hi ! We recently updated `cnn_dailymail` and now `datasets>=2.14` is needed to load it.\r\n\r\nYou can update `datasets` with\r\n\r\n```\r\npip install -U datasets\r\n```",
"created_at": "2024-01-31T14:45:56Z",
"html_url": "https://github.com/huggingface/da... | 2024-01-24T11:38:25Z | 2024-02-01T08:14:50Z | 2024-02-01T08:14:50Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
When I try to load `cnn_dailymail` dataset, it takes longer than usual and when I checked the dataset it's 3x bigger than it's supposed to be.
Check https://huggingface.co/datasets/cnn_dailymail: it says 287k rows for train. But when I check length of train split it says 861339.
Also I che... | {
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https://api.github.com/repos/huggingface/datasets/issues/6610 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6610/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6610/comments | https://api.github.com/repos/huggingface/datasets/issues/6610/events | https://github.com/huggingface/datasets/issues/6610 | 2,095,643,711 | I_kwDODunzps586Pw_ | 6,610 | cast_column to Sequence(subfeatures_dict) has err | {
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{
"author_association": "COLLABORATOR",
"body": "Hi! You are passing the wrong feature type to `cast_column`. This is the fixed call:\r\n```python\r\nais_dataset = ais_dataset.cast_column(\"my_labeled_bbox\", {\"bbox\": Sequence(Value(dtype=\"int64\")), \"label\": ClassLabel(names=[\"cat\", \"dog\"])})\r\n`... | 2024-01-23T09:32:32Z | 2024-01-25T02:15:23Z | 2024-01-25T02:15:23Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
I am working with the following demo code:
```
from datasets import load_dataset
from datasets.features import Sequence, Value, ClassLabel, Features
ais_dataset = load_dataset("/data/ryan.gao/ais_dataset_cache/raw/1978/")
ais_dataset = ais_dataset["train"]
def add_class(example):
... | {
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https://api.github.com/repos/huggingface/datasets/issues/6609 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6609/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6609/comments | https://api.github.com/repos/huggingface/datasets/issues/6609/events | https://github.com/huggingface/datasets/issues/6609 | 2,095,085,650 | I_kwDODunzps584HhS | 6,609 | Wrong path for cache directory in offline mode | {
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"created_at": "2024-01-24T07:33:30Z",
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"node_id": "IC_kw... | 2024-01-23T01:47:19Z | 2024-02-06T17:21:25Z | 2024-02-06T17:21:25Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
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} | ### Describe the bug
Dear huggingfacers,
I'm trying to use a subset of the-stack dataset. When I run the command the first time
```
dataset = load_dataset(
path='bigcode/the-stack',
data_dir='data/fortran',
split='train' )
```
It downloads the files and caches them normally.
Nevertheless, ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6608 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6608/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6608/comments | https://api.github.com/repos/huggingface/datasets/issues/6608/events | https://github.com/huggingface/datasets/pull/6608 | 2,094,153,292 | PR_kwDODunzps5ku_lN | 6,608 | Add `with_rank` param to `Dataset.filter` | {
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"created_at": "2024-01-22T15:23:40Z",
... | 2024-01-22T15:19:16Z | 2024-01-29T16:43:11Z | 2024-01-29T16:36:53Z | COLLABORATOR | null | null | null | Fix #6564 | {
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https://api.github.com/repos/huggingface/datasets/issues/6611 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6611/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6611/comments | https://api.github.com/repos/huggingface/datasets/issues/6611/events | https://github.com/huggingface/datasets/issues/6611 | 2,096,004,858 | I_kwDODunzps587n76 | 6,611 | `load_from_disk` with large dataset from S3 runs into `botocore.exceptions.ClientError` | {
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"completed": 0,
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} | ### Describe the bug
When loading a large dataset (>1000GB) from S3 I run into the following error:
```
Traceback (most recent call last):
File "/home/alp/.local/lib/python3.10/site-packages/s3fs/core.py", line 113, in _error_wrapper
return await func(*args, **kwargs)
File "/home/alp/.local/lib/python3.... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6607 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6607/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6607/comments | https://api.github.com/repos/huggingface/datasets/issues/6607/events | https://github.com/huggingface/datasets/pull/6607 | 2,091,766,063 | PR_kwDODunzps5knGse | 6,607 | Update features.py to avoid bfloat16 unsupported error | {
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{
"author_association": "MEMBER",
"body": "I think not all torch tensors should be converted to float, what if it's a tensor of integers for example ?\r\nMaybe you can check for the tensor dtype before converting",
"created_at": "2024-03-01T16:11:29Z",
"html_url": "https://github.com/huggingface/dat... | 2024-01-20T00:39:44Z | 2024-05-17T09:46:29Z | 2024-05-17T09:40:13Z | CONTRIBUTOR | null | null | null | Fixes https://github.com/huggingface/datasets/issues/6566
Let me know if there's any tests I need to clear. | {
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https://api.github.com/repos/huggingface/datasets/issues/6606 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6606/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6606/comments | https://api.github.com/repos/huggingface/datasets/issues/6606/events | https://github.com/huggingface/datasets/pull/6606 | 2,091,088,785 | PR_kwDODunzps5kk3KB | 6,606 | Dedicated RNG object for fingerprinting | {
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"created_at": "2024-01-19T18:38:50Z",
... | 2024-01-19T18:34:47Z | 2024-01-26T15:11:38Z | 2024-01-26T15:05:34Z | COLLABORATOR | null | null | null | Closes https://github.com/huggingface/datasets/issues/6604, closes https://github.com/huggingface/datasets/issues/2775 | {
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https://api.github.com/repos/huggingface/datasets/issues/6605 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6605/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6605/comments | https://api.github.com/repos/huggingface/datasets/issues/6605/events | https://github.com/huggingface/datasets/issues/6605 | 2,090,188,376 | I_kwDODunzps58lb5Y | 6,605 | ELI5 no longer available, but referenced in example code | {
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{
"author_association": "COLLABORATOR",
"body": "Addressed in https://github.com/huggingface/transformers/pull/28715.",
"created_at": "2024-02-01T17:58:22Z",
"html_url": "https://github.com/huggingface/datasets/issues/6605#issuecomment-1921901376",
"id": 1921901376,
"issue_url": "https://api... | 2024-01-19T10:21:52Z | 2024-02-01T17:58:23Z | 2024-02-01T17:58:22Z | NONE | null | null | {
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} | Here, an example code is given:
https://huggingface.co/docs/transformers/tasks/language_modeling
This code + article references the ELI5 dataset.
ELI5 is no longer available, as the ELI5 dataset page states: https://huggingface.co/datasets/eli5
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https://api.github.com/repos/huggingface/datasets/issues/6603 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6603/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6603/comments | https://api.github.com/repos/huggingface/datasets/issues/6603/events | https://github.com/huggingface/datasets/issues/6603 | 2,089,230,766 | I_kwDODunzps58hyGu | 6,603 | datasets map `cache_file_name` does not work | {
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"body": "Unfortunately, I'm unable to reproduce this error. Can you share the reproducer?",
"created_at": "2024-01-22T15:12:45Z",
"html_url": "https://github.com/huggingface/datasets/issues/6603#issuecomment-1904212476",
"id": 1904212476,
"issue_url": ... | 2024-01-18T23:08:30Z | 2024-01-28T04:01:15Z | null | NONE | null | null | {
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} | ### Describe the bug
In the documentation `datasets.Dataset.map` arg `cache_file_name` is said to be a string, but it doesn't work.
### Steps to reproduce the bug
1. pick a dataset
2. write a map function
3. do `ds.map(..., cache_file_name='some_filename')`
4. it crashes
### Expected behavior
It will tell you t... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6604 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6604/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6604/comments | https://api.github.com/repos/huggingface/datasets/issues/6604/events | https://github.com/huggingface/datasets/issues/6604 | 2,089,713,945 | I_kwDODunzps58joEZ | 6,604 | Transform fingerprint collisions due to setting fixed random seed | {
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"body": "I've opened a PR with a fix.",
"created_at": "2024-01-19T18:37:14Z",
"html_url": "https://github.com/huggingface/datasets/issues/6604#issuecomment-1900916552",
"id": 1900916552,
"issue_url": "https://api.github.com/repos/huggingface/datasets/i... | 2024-01-19T06:32:25Z | 2024-01-26T15:05:35Z | 2024-01-26T15:05:35Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
The transform fingerprinting logic relies on the `random` library for random bits when the function is not hashable (e.g. bound methods as used in `trl`: https://github.com/huggingface/trl/blob/main/trl/trainer/dpo_trainer.py#L356). This causes collisions when the training code sets a fixed random... | {
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https://api.github.com/repos/huggingface/datasets/issues/6602 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6602/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6602/comments | https://api.github.com/repos/huggingface/datasets/issues/6602/events | https://github.com/huggingface/datasets/issues/6602 | 2,089,217,483 | I_kwDODunzps58hu3L | 6,602 | Index error when data is large | {
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"body": "I'm facing this problem while doing my translation of [mteb/stackexchange-clustering](https://huggingface.co/datasets/mteb/stackexchange-clustering). each row has lots of samples (up to 100k samples), because in this dataset, each row represent multiple clusters.\nmy... | 2024-01-18T23:00:47Z | 2025-04-16T04:13:01Z | null | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
At `save_to_disk` step, the `max_shard_size` by default is `500MB`. However, one row of the dataset might be larger than `500MB` then the saving will throw an index error. Without looking at the source code, the bug is due to wrong calculation of number of shards which i think is
`total_size / m... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6601 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6601/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6601/comments | https://api.github.com/repos/huggingface/datasets/issues/6601/events | https://github.com/huggingface/datasets/pull/6601 | 2,088,624,054 | PR_kwDODunzps5kcWN0 | 6,601 | add safety checks when using only part of dataset | {
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"author_association": "MEMBER",
"body": "Hi ! The metrics in `datasets` are deprecated in favor of https://github.com/huggingface/evaluate\r\n\r\nYou can open a PR here instead: https://huggingface.co/spaces/evaluate-metric/squad_v2/tree/main",
"created_at": "2024-02-08T14:33:08Z",
"html_url": "ht... | 2024-01-18T16:16:59Z | 2024-02-08T14:33:10Z | null | NONE | null | null | null | Added some checks to prevent errors that arrise when using evaluate.py on only a portion of the squad 2.0 dataset. | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6600 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6600/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6600/comments | https://api.github.com/repos/huggingface/datasets/issues/6600/events | https://github.com/huggingface/datasets/issues/6600 | 2,088,446,385 | I_kwDODunzps58eymx | 6,600 | Loading CSV exported dataset has unexpected format | {
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"body": "Hi! Parquet is the only format that supports complex/nested features such as `Translation`. So, this should work:\r\n```python\r\ntest_dataset = load_dataset(\"opus100\", name=\"en-fr\", split=\"test\")\r\n\r\n# Save with .to_parquet()\r\ntest_parquet_path = ... | 2024-01-18T14:48:27Z | 2024-01-23T14:42:32Z | null | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
I wanted to be able to save a HF dataset for translations and load it again in another script, but I'm a bit confused with the documentation and the result I've got so I'm opening this issue to ask if this behavior is as expected.
### Steps to reproduce the bug
The documentation I've mainly cons... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6599 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6599/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6599/comments | https://api.github.com/repos/huggingface/datasets/issues/6599/events | https://github.com/huggingface/datasets/issues/6599 | 2,086,684,664 | I_kwDODunzps58YEf4 | 6,599 | Easy way to segment into 30s snippets given an m4a file and a vtt file | {
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{
"author_association": "COLLABORATOR",
"body": "Hi! Non-generic data processing is out of this library's scope, so it's downstream libraries/users' responsibility to implement such logic.",
"created_at": "2024-01-22T15:35:49Z",
"html_url": "https://github.com/huggingface/datasets/issues/6599#issuec... | 2024-01-17T17:51:40Z | 2024-01-23T10:42:17Z | 2024-01-22T15:35:49Z | NONE | null | null | {
"completed": 0,
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} | ### Feature request
Uploading datasets is straightforward thanks to the ability to push Audio to hub. However, it would be nice if the data (text and audio) could be segmented when being pushed (if not possible already).
### Motivation
It's easy to create a vtt file from an audio file. If there could be auto-segment... | {
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https://api.github.com/repos/huggingface/datasets/issues/6598 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6598/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6598/comments | https://api.github.com/repos/huggingface/datasets/issues/6598/events | https://github.com/huggingface/datasets/issues/6598 | 2,084,236,605 | I_kwDODunzps58Ou09 | 6,598 | Unexpected keyword argument 'hf' when downloading CSV dataset from S3 | {
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"body": "I am facing similar issue while reading a csv file from s3. Wondering if somebody has found a workaround. ",
"created_at": "2024-01-18T00:44:56Z",
"html_url": "https://github.com/huggingface/datasets/issues/6598#issuecomment-1897564947",
"id": 1897564947,... | 2024-01-16T15:16:01Z | 2025-01-31T15:35:33Z | 2024-07-23T14:30:10Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
I receive this error message when using `load_dataset` with "csv" path and `dataset_files=s3://...`:
```
TypeError: Session.__init__() got an unexpected keyword argument 'hf'
```
I found a similar issue here: https://stackoverflow.com/questions/77596258/aws-issue-load-dataset-from-s3-fails-w... | {
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https://api.github.com/repos/huggingface/datasets/issues/6597 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6597/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6597/comments | https://api.github.com/repos/huggingface/datasets/issues/6597/events | https://github.com/huggingface/datasets/issues/6597 | 2,083,708,521 | I_kwDODunzps58Mt5p | 6,597 | Dataset.push_to_hub of a canonical dataset creates an additional dataset under the user namespace | {
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"body": "It is caused by these code lines: https://github.com/huggingface/datasets/blob/9d6d16117a30ba345b0236407975f701c5b288d4/src/datasets/dataset_dict.py#L1688-L1694",
"created_at": "2024-01-16T13:02:22Z",
"html_url": "https://github.com/huggingface/datasets/iss... | 2024-01-16T11:27:07Z | 2024-02-05T12:29:37Z | 2024-02-05T12:29:37Z | MEMBER | null | null | {
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} | While using `Dataset.push_to_hub` of a canonical dataset, an additional dataset was created under my user namespace.
## Steps to reproduce the bug
The command:
```python
commit_info = ds.push_to_hub(
"caner",
config_name="default",
commit_message="Convert dataset to Parquet",
commit_descriptio... | {
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https://api.github.com/repos/huggingface/datasets/issues/6596 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6596/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6596/comments | https://api.github.com/repos/huggingface/datasets/issues/6596/events | https://github.com/huggingface/datasets/pull/6596 | 2,083,108,156 | PR_kwDODunzps5kJceH | 6,596 | Drop redundant None guard. | {
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{
"author_association": "NONE",
"body": "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6596). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"created_at": "2024-01-16T16:52:09Z",
... | 2024-01-16T06:31:54Z | 2024-01-16T17:16:16Z | 2024-01-16T17:05:52Z | CONTRIBUTOR | null | null | null | `xxx if xxx is not None else None` is no-op. | {
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https://api.github.com/repos/huggingface/datasets/issues/6595 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6595/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6595/comments | https://api.github.com/repos/huggingface/datasets/issues/6595/events | https://github.com/huggingface/datasets/issues/6595 | 2,082,896,148 | I_kwDODunzps58JnkU | 6,595 | Loading big dataset raises pyarrow.lib.ArrowNotImplementedError 2 | {
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{
"author_association": "MEMBER",
"body": "Hi ! I think the issue comes from the \"float16\" features that are not supported yet in Parquet\r\n\r\nFeel free to open an issue in `pyarrow` about this. In the meantime, I'd encourage you to use \"float32\" for your \"pooled_prompt_embeds\" and \"prompt_embeds\"... | 2024-01-16T02:03:09Z | 2024-01-27T18:26:33Z | 2024-01-26T02:28:32Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
I'm aware of the issue #5695 .
I'm using a modified SDXL trainer: https://github.com/kopyl/diffusers/blob/5e70f604155aeecee254a5c63c5e4236ad4a0d3d/examples/text_to_image/train_text_to_image_sdxl.py#L1027C16-L1027C16
So i
1. Map dataset
2. Save to disk
3. Try to upload:
```
import data... | {
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https://api.github.com/repos/huggingface/datasets/issues/6592 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6592/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6592/comments | https://api.github.com/repos/huggingface/datasets/issues/6592/events | https://github.com/huggingface/datasets/issues/6592 | 2,082,410,257 | I_kwDODunzps58Hw8R | 6,592 | Logs are delayed when doing .map when `docker logs` | {
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{
"author_association": "COLLABORATOR",
"body": "Hi! `tqdm` doesn't work well in non-interactive environments, so there isn't much we can do about this. It's best to [disable it](https://huggingface.co/docs/datasets/v2.16.1/en/package_reference/utilities#datasets.disable_progress_bars) in such environments ... | 2024-01-15T17:05:21Z | 2024-02-12T17:35:21Z | 2024-02-12T17:35:21Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
When I run my SD training in a Docker image and then listen to logs like `docker logs train -f`, the progress bar is delayed.
It's updating every few percent.
When you have a large dataset that has to be mapped (like 1+ million samples), it's crucial to see the updates in real-time, not every co... | {
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https://api.github.com/repos/huggingface/datasets/issues/6594 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6594/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6594/comments | https://api.github.com/repos/huggingface/datasets/issues/6594/events | https://github.com/huggingface/datasets/issues/6594 | 2,082,748,275 | I_kwDODunzps58JDdz | 6,594 | IterableDataset sharding logic needs improvement | {
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"body": "I do not know is it the same probelm as mine. I think the num_workers should a value of process number for one dataloader mapped to one card, or the total number of processes for all multiple cards. \r\nbut when I set the num_workers larger then the count of tra... | 2024-01-15T22:22:36Z | 2024-10-15T06:27:13Z | null | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
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} | ### Describe the bug
The sharding of IterableDatasets with respect to distributed and dataloader worker processes appears problematic with significant performance traps and inconsistencies wrt to distributed train processes vs worker processes.
Splitting across num_workers (per train process loader processes) and... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6591 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6591/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6591/comments | https://api.github.com/repos/huggingface/datasets/issues/6591/events | https://github.com/huggingface/datasets/issues/6591 | 2,082,378,957 | I_kwDODunzps58HpTN | 6,591 | The datasets models housed in Dropbox can't support a lot of users downloading them | {
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{
"author_association": "COLLABORATOR",
"body": "Hi! Indeed, Dropbox is not a reliable host. I've just merged https://huggingface.co/datasets/PolyAI/minds14/discussions/24 to fix this by hosting the data files inside the repo.",
"created_at": "2024-01-22T23:18:09Z",
"html_url": "https://github.com/h... | 2024-01-15T16:43:38Z | 2024-01-22T23:18:09Z | 2024-01-22T23:18:09Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
I'm using the datasets
```
from datasets import load_dataset, Audio
dataset = load_dataset("PolyAI/minds14", name="en-US", split="train")
```
And it seems that sometimes when I imagine a lot of users are accessing the same resources, the Dropbox host fails:
`raise ConnectionError(... | {
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https://api.github.com/repos/huggingface/datasets/issues/6589 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6589/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6589/comments | https://api.github.com/repos/huggingface/datasets/issues/6589/events | https://github.com/huggingface/datasets/issues/6589 | 2,081,358,619 | I_kwDODunzps58DwMb | 6,589 | After `2.16.0` version, there are `PermissionError` when users use shared cache_dir | {
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{
"author_association": "MEMBER",
"body": "We'll do a new release of `datasets` in the coming days with a fix !",
"created_at": "2024-01-30T15:29:03Z",
"html_url": "https://github.com/huggingface/datasets/issues/6589#issuecomment-1917215236",
"id": 1917215236,
"issue_url": "https://api.githu... | 2024-01-15T06:46:27Z | 2024-02-02T07:55:38Z | 2024-01-30T15:28:38Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
- We use shared `cache_dir` using `HF_HOME="{shared_directory}"`
- After dataset version 2.16.0, datasets uses `filelock` package for file locking #6445
- But, `filelock` package make `.lock` file with `644` permission
- Dataset is not available to other users except the user who created the ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6590 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6590/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6590/comments | https://api.github.com/repos/huggingface/datasets/issues/6590/events | https://github.com/huggingface/datasets/issues/6590 | 2,082,000,084 | I_kwDODunzps58GMzU | 6,590 | Feature request: Multi-GPU dataset mapping for SDXL training | {
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"completed": 0,
"percent_completed": 0,
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} | ### Feature request
We need to speed up SDXL dataset pre-process. Please make it possible to use multiple GPUs for the [official SDXL trainer](https://github.com/huggingface/diffusers/blob/main/examples/text_to_image/train_text_to_image_sdxl.py) :)
### Motivation
Pre-computing 3 million of images takes around ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6588 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6588/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6588/comments | https://api.github.com/repos/huggingface/datasets/issues/6588/events | https://github.com/huggingface/datasets/issues/6588 | 2,081,284,253 | I_kwDODunzps58DeCd | 6,588 | fix os.listdir return name is empty string | {
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"completed": 0,
"percent_completed": 0,
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} | ### Describe the bug
xlistdir return name is empty string
Overloaded os.listdir
### Steps to reproduce the bug
```python
from datasets.download.streaming_download_manager import xjoin
from datasets.download.streaming_download_manager import xlistdir
config = DownloadConfig(storage_options=options)
manger = Str... | {
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https://api.github.com/repos/huggingface/datasets/issues/6587 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6587/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6587/comments | https://api.github.com/repos/huggingface/datasets/issues/6587/events | https://github.com/huggingface/datasets/pull/6587 | 2,080,348,016 | PR_kwDODunzps5kAT_5 | 6,587 | Allow concatenation of datasets with mixed structs | {
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{
"author_association": "NONE",
"body": "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6587). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"created_at": "2024-01-13T15:37:53Z",
... | 2024-01-13T15:33:20Z | 2024-02-15T15:20:06Z | 2024-02-08T14:38:32Z | CONTRIBUTOR | null | null | null | Fixes #6466
The idea is to do a recursive check for structs. PyArrow handles it well enough.
For a demo you can do:
```python
from datasets import Dataset, concatenate_datasets
ds = Dataset.from_dict({'speaker': [{'name': 'Ben', 'email': None}]})
ds2 = Dataset.from_dict({'speaker': [{'name': 'Fred', 'e... | {
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https://api.github.com/repos/huggingface/datasets/issues/6586 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6586/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6586/comments | https://api.github.com/repos/huggingface/datasets/issues/6586/events | https://github.com/huggingface/datasets/pull/6586 | 2,079,192,651 | PR_kwDODunzps5j8aJn | 6,586 | keep more info in DatasetInfo.from_merge #6585 | {
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"body": "@JochenSiegWork fyi, that seems to also affect the `trainer.push_to_hub()` method, which I guess also needs to parse that DatasetInfo from the `kwargs` used by `push_to_hub`.\r\nThere is short discussion about it [here](https://github.com/huggingface/blog/issues/1623... | 2024-01-12T16:08:16Z | 2024-01-26T15:59:35Z | 2024-01-26T15:53:28Z | CONTRIBUTOR | null | null | null | * try not to merge DatasetInfos if they're equal
* fixes losing DatasetInfo during parallel Dataset.map | {
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https://api.github.com/repos/huggingface/datasets/issues/6585 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6585/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6585/comments | https://api.github.com/repos/huggingface/datasets/issues/6585/events | https://github.com/huggingface/datasets/issues/6585 | 2,078,874,005 | I_kwDODunzps576RmV | 6,585 | losing DatasetInfo in Dataset.map when num_proc > 1 | {
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"author_association": "MEMBER",
"body": "Hi ! This issue comes from the fact that `map()` with `num_proc>1` shards the dataset in multiple chunks to be processed (one per process) and merges them. The DatasetInfos of each chunk are then merged together, but for some fields like `dataset_name` it's not bee... | 2024-01-12T13:39:19Z | 2024-01-12T14:08:24Z | null | CONTRIBUTOR | null | null | {
"completed": 0,
"percent_completed": 0,
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} | ### Describe the bug
Hello and thanks for developing this package!
When I process a Dataset with the map function using multiple processors some set attributes of the DatasetInfo get lost and are None in the resulting Dataset.
### Steps to reproduce the bug
```python
from datasets import Dataset, DatasetInfo... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6584 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6584/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6584/comments | https://api.github.com/repos/huggingface/datasets/issues/6584/events | https://github.com/huggingface/datasets/issues/6584 | 2,078,454,878 | I_kwDODunzps574rRe | 6,584 | np.fromfile not supported | {
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"body": "@lhoestq\r\nCan you provide me with some ideas？",
"created_at": "2024-01-12T09:55:37Z",
"html_url": "https://github.com/huggingface/datasets/issues/6584#issuecomment-1888780092",
"id": 1888780092,
"issue_url": "https://api.github.com/repos/hugg... | 2024-01-12T09:46:17Z | 2024-01-15T05:20:50Z | null | CONTRIBUTOR | null | null | {
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} | How to do np.fromfile to use it like np.load
```python
def xnumpy_fromfile(filepath_or_buffer, *args, download_config: Optional[DownloadConfig] = None, **kwargs):
import numpy as np
if hasattr(filepath_or_buffer, "read"):
return np.fromfile(filepath_or_buffer, *args, **kwargs)
else:
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6580 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6580/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6580/comments | https://api.github.com/repos/huggingface/datasets/issues/6580/events | https://github.com/huggingface/datasets/issues/6580 | 2,075,645,042 | I_kwDODunzps57t9Ry | 6,580 | dataset cache only stores one config of the dataset in parquet dir, and uses that for all other configs resulting in showing same data in all configs. | {
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} | ### Describe the bug
ds = load_dataset("ai2_arc", "ARC-Easy"), i have tried to force redownload, delete cache and changing the cache dir.
### Steps to reproduce the bug
dataset = []
dataset_name = "ai2_arc"
possible_configs = [
'ARC-Challenge',
'ARC-Easy'
]
for config in possible_configs:
data... | {
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https://api.github.com/repos/huggingface/datasets/issues/6582 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6582/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6582/comments | https://api.github.com/repos/huggingface/datasets/issues/6582/events | https://github.com/huggingface/datasets/pull/6582 | 2,076,072,101 | PR_kwDODunzps5jxpry | 6,582 | Fix for Incorrect ex_iterable used with multi num_worker | {
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"body": "A toy example to reveal the bug.\r\n\r\n```python\r\n\"\"\"\r\nDATASETS_VERBOSITY=debug torchrun --nproc-per-node 2 main.py \r\n\"\"\"\r\nimport torch.utils.data\r\nimport torch.distributed\r\nimport datasets.distributed\r\nimport datasets\r\n\r\n# num shards ... | 2024-01-11T08:49:43Z | 2024-03-01T19:09:14Z | 2024-03-01T19:02:33Z | CONTRIBUTOR | null | null | null | Corrects an issue where `self._ex_iterable` was erroneously used instead of `ex_iterable`, when both Distributed Data Parallel (DDP) and multi num_worker are used concurrently. This improper usage led to the generation of incorrect `shards_indices`, subsequently causing issues with the control flow responsible for work... | {
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https://api.github.com/repos/huggingface/datasets/issues/6581 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6581/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6581/comments | https://api.github.com/repos/huggingface/datasets/issues/6581/events | https://github.com/huggingface/datasets/pull/6581 | 2,075,919,265 | PR_kwDODunzps5jxIbt | 6,581 | fix os.listdir return name is empty string | {
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"created_at": "2024-01-11T07:16:08Z",
... | 2024-01-11T07:10:55Z | 2024-01-24T10:14:43Z | 2024-01-24T10:08:28Z | CONTRIBUTOR | null | null | null | fix #6588
xlistdir return name is empty string
for example：
`
from datasets.download.streaming_download_manager import xjoin
from datasets.download.streaming_download_manager import xlistdir
config = DownloadConfig(storage_options=options)
manger = StreamingDownloadManager("ILSVRC2012",download_config=config... | {
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https://api.github.com/repos/huggingface/datasets/issues/6578 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6578/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6578/comments | https://api.github.com/repos/huggingface/datasets/issues/6578/events | https://github.com/huggingface/datasets/pull/6578 | 2,074,923,321 | PR_kwDODunzps5jtthB | 6,578 | Faster webdataset streaming | {
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"created_at": "2024-01-10T18:23:38Z",
... | 2024-01-10T18:18:09Z | 2024-01-30T18:46:02Z | 2024-01-30T18:39:51Z | MEMBER | null | null | null | requests.get(..., streaming=True) is faster than using HTTP range requests when streaming large TAR files
it can be enabled using block_size=0 in fsspec
cc @rwightman | {
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https://api.github.com/repos/huggingface/datasets/issues/6583 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6583/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6583/comments | https://api.github.com/repos/huggingface/datasets/issues/6583/events | https://github.com/huggingface/datasets/pull/6583 | 2,077,049,491 | PR_kwDODunzps5j1DzY | 6,583 | remove eli5 test | {
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"created_at": "2024-01-11T16:10:36Z",
... | 2024-01-11T16:05:20Z | 2024-01-11T16:15:34Z | 2024-01-11T16:09:24Z | MEMBER | null | null | null | since the dataset is defunct | {
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https://api.github.com/repos/huggingface/datasets/issues/6579 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6579/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6579/comments | https://api.github.com/repos/huggingface/datasets/issues/6579/events | https://github.com/huggingface/datasets/issues/6579 | 2,075,407,473 | I_kwDODunzps57tDRx | 6,579 | Unable to load `eli5` dataset with streaming | {
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{
"author_association": "MEMBER",
"body": "Hi @haok1402, I have created an issue in the Discussion tab of the corresponding dataset: https://huggingface.co/datasets/eli5/discussions/7\r\nLet's continue the discussion there!",
"created_at": "2024-01-11T09:19:17Z",
"html_url": "https://github.com/hugg... | 2024-01-10T23:44:20Z | 2024-01-11T09:19:18Z | 2024-01-11T09:19:17Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
Unable to load `eli5` dataset with streaming.
### Steps to reproduce the bug
This fails with FileNotFoundError: https://files.pushshift.io/reddit/submissions
```
from datasets import load_dataset
load_dataset("eli5", streaming=True)
```
This works correctly.
```
from datasets import lo... | {
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https://api.github.com/repos/huggingface/datasets/issues/6577 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6577/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6577/comments | https://api.github.com/repos/huggingface/datasets/issues/6577/events | https://github.com/huggingface/datasets/issues/6577 | 2,074,790,848 | I_kwDODunzps57qsvA | 6,577 | 502 Server Errors when streaming large dataset | {
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{
"author_association": "CONTRIBUTOR",
"body": "cc @mariosasko @lhoestq ",
"created_at": "2024-01-10T17:00:38Z",
"html_url": "https://github.com/huggingface/datasets/issues/6577#issuecomment-1885242691",
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"issue_url": "https://api.github.com/repos/huggingface/datasets/issues... | 2024-01-10T16:59:36Z | 2024-02-12T11:46:03Z | 2024-01-15T16:05:44Z | CONTRIBUTOR | null | null | {
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} | ### Describe the bug
When streaming a [large ASR dataset](https://huggingface.co/datasets/sanchit-gandhi/concatenated-train-set) from the Hug (~3TB) I often encounter 502 Server Errors seemingly randomly during streaming:
```
huggingface_hub.utils._errors.HfHubHTTPError: 502 Server Error: Bad Gateway for url: http... | {
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https://api.github.com/repos/huggingface/datasets/issues/6576 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6576/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6576/comments | https://api.github.com/repos/huggingface/datasets/issues/6576/events | https://github.com/huggingface/datasets/issues/6576 | 2,073,710,124 | I_kwDODunzps57mk4s | 6,576 | document page 404 not found after redirection | {
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{
"author_association": "COLLABORATOR",
"body": "Thanks for reporting! I've opened a PR with a fix.",
"created_at": "2024-01-16T17:14:54Z",
"html_url": "https://github.com/huggingface/datasets/issues/6576#issuecomment-1894172477",
"id": 1894172477,
"issue_url": "https://api.github.com/repos/... | 2024-01-10T06:48:14Z | 2024-01-17T14:01:31Z | 2024-01-17T14:01:31Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
The redirected page encountered 404 not found.
### Steps to reproduce the bug
1. In this tutorial: https://huggingface.co/learn/nlp-course/chapter5/4?fw=pt
original md: https://github.com/huggingface/course/blob/2c733c2246b8b7e0e6f19a9e5d15bb12df43b2a3/chapters/en/chapter5/4.mdx#L49
`... | {
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https://api.github.com/repos/huggingface/datasets/issues/6575 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6575/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6575/comments | https://api.github.com/repos/huggingface/datasets/issues/6575/events | https://github.com/huggingface/datasets/pull/6575 | 2,072,617,406 | PR_kwDODunzps5jl1V6 | 6,575 | [IterableDataset] Fix `drop_last_batch`in map after shuffling or sharding | {
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"body": "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6575). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"created_at": "2024-01-09T15:40:20Z",
... | 2024-01-09T15:35:31Z | 2024-01-11T16:16:54Z | 2024-01-11T16:10:30Z | MEMBER | null | null | null | It was not taken into account e.g. when passing to a DataLoader with num_workers>0
Fix https://github.com/huggingface/datasets/issues/6565 | {
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https://api.github.com/repos/huggingface/datasets/issues/6574 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6574/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6574/comments | https://api.github.com/repos/huggingface/datasets/issues/6574/events | https://github.com/huggingface/datasets/pull/6574 | 2,072,579,549 | PR_kwDODunzps5jltBC | 6,574 | Fix tests based on datasets that used to have scripts | {
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"body": "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6574). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"created_at": "2024-01-09T15:21:21Z",
... | 2024-01-09T15:16:16Z | 2024-01-09T16:11:33Z | 2024-01-09T16:05:13Z | MEMBER | null | null | null | ...now that `squad` and `paws` don't have a script anymore | {
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https://api.github.com/repos/huggingface/datasets/issues/6572 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6572/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6572/comments | https://api.github.com/repos/huggingface/datasets/issues/6572/events | https://github.com/huggingface/datasets/pull/6572 | 2,072,384,281 | PR_kwDODunzps5jlCO5 | 6,572 | Adding option for multipart achive download | {
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"body": "On closer examination, this appears to be unnecessary. ",
"created_at": "2024-02-25T08:13:01Z",
"html_url": "https://github.com/huggingface/datasets/pull/6572#issuecomment-1962851825",
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"issue_url": "https://api.github.com/repos/huggi... | 2024-01-09T13:35:44Z | 2024-02-25T08:13:01Z | 2024-02-25T08:13:01Z | NONE | null | null | null | Right now we can only download multiple separate archives or a single file archive, but not multipart archives, such as those produced by `tar --multi-volume`. This PR allows for downloading and extraction of archives split into multiple parts.
With the new `multi_part` field of the `DownloadConfig` set, the downloa... | {
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https://api.github.com/repos/huggingface/datasets/issues/6571 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6571/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6571/comments | https://api.github.com/repos/huggingface/datasets/issues/6571/events | https://github.com/huggingface/datasets/issues/6571 | 2,072,111,000 | I_kwDODunzps57geeY | 6,571 | Make DatasetDict.column_names return a list instead of dict | {
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} | Currently, `DatasetDict.column_names` returns a dict, with each split name as keys and the corresponding list of column names as values.
However, by construction, all splits have the same column names.
I think it makes more sense to return a single list with the column names, which is the same for all the split k... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6570 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6570/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6570/comments | https://api.github.com/repos/huggingface/datasets/issues/6570/events | https://github.com/huggingface/datasets/issues/6570 | 2,071,805,265 | I_kwDODunzps57fT1R | 6,570 | No online docs for 2.16 release | {
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{
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"body": "Though the `build / build_main_documentation` CI job ran for 2.16.0: https://github.com/huggingface/datasets/actions/runs/7300836845/job/19896275099 🤔 ",
"created_at": "2024-01-09T13:09:55Z",
"html_url": "https://github.com/huggingface/datasets/issues/6570... | 2024-01-09T07:43:30Z | 2024-01-09T16:45:50Z | 2024-01-09T16:45:50Z | MEMBER | null | null | {
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} | We do not have the online docs for the latest minor release 2.16 (2.16.0 nor 2.16.1).
In the online docs, the latest version appearing is 2.15.0: https://huggingface.co/docs/datasets/index
![Screenshot from 2024-01-09 08-43-08](https://github.com/huggingface/datasets/assets/8515462/83613222-867f-41f4-8833-7a4a765... | {
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https://api.github.com/repos/huggingface/datasets/issues/6569 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6569/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6569/comments | https://api.github.com/repos/huggingface/datasets/issues/6569/events | https://github.com/huggingface/datasets/issues/6569 | 2,070,251,122 | I_kwDODunzps57ZYZy | 6,569 | WebDataset ignores features defined in YAML or passed to load_dataset | {
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https://github.com/huggingface/datasets/blob/d26abadce0b884db32382b92422d8a6aa997d40a/src/datasets/packaged_modules/webdataset/webdataset.py#L78-L85 | {
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https://api.github.com/repos/huggingface/datasets/issues/6567 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6567/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6567/comments | https://api.github.com/repos/huggingface/datasets/issues/6567/events | https://github.com/huggingface/datasets/issues/6567 | 2,069,808,842 | I_kwDODunzps57XsbK | 6,567 | AttributeError: 'str' object has no attribute 'to' | {
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{
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"body": "I think you are reporting an issue with the `transformers` library. Note this is the repository of the `datasets` library. I recommend that you open an issue in their repository: https://github.com/huggingface/transformers/issues\r\n\r\nEDIT: I have not the rights ... | 2024-01-08T06:40:21Z | 2024-01-08T11:56:19Z | 2024-01-08T10:03:17Z | NONE | null | null | {
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} | ### Describe the bug
```
--------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
[<ipython-input-6-80c6086794e8>](https://localhost:8080/#) in <cell line: 10>()
8 report_to="wandb")
9
---> 10 trainer =... | {
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https://api.github.com/repos/huggingface/datasets/issues/6568 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6568/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6568/comments | https://api.github.com/repos/huggingface/datasets/issues/6568/events | https://github.com/huggingface/datasets/issues/6568 | 2,069,922,151 | I_kwDODunzps57YIFn | 6,568 | keep_in_memory=True does not seem to work | {
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"body": "Seems like I just used the old code which did not have `keep_in_memory=True` argument, sorry.\r\n\r\nAlthough i encountered a different problem – at 97% my python process just hung for around 11 minutes with no logs (when running dataset.map without `keep_in_memory=T... | 2024-01-08T08:03:58Z | 2024-01-13T04:53:04Z | null | NONE | null | null | {
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} | UPD: [Fixed](https://github.com/huggingface/datasets/issues/6568#issuecomment-1880817794) . But a new issue came up :( | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6573 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6573/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6573/comments | https://api.github.com/repos/huggingface/datasets/issues/6573/events | https://github.com/huggingface/datasets/pull/6573 | 2,072,553,951 | PR_kwDODunzps5jlnaj | 6,573 | [WebDataset] Audio support and bug fixes | {
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"body": "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6573). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"created_at": "2024-01-09T15:08:09Z",
... | 2024-01-09T15:03:04Z | 2024-01-11T16:17:28Z | 2024-01-11T16:11:04Z | MEMBER | null | null | null | - Add audio support
- Fix an issue where user-provided features with additional fields are not taken into account
Close https://github.com/huggingface/datasets/issues/6569 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 2024-01-09T15:03:04Z | 2024-01-11T16:11:04Z | 2 days, 1:08:00 | true |
https://api.github.com/repos/huggingface/datasets/issues/6565 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6565/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6565/comments | https://api.github.com/repos/huggingface/datasets/issues/6565/events | https://github.com/huggingface/datasets/issues/6565 | 2,068,939,670 | I_kwDODunzps57UYOW | 6,565 | `drop_last_batch=True` for IterableDataset map function is ignored with multiprocessing DataLoader | {
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"body": "My current workaround this issue is to return `None` in the second element and then filter out samples which have `None` in them.\r\n\r\n```python\r\ndef merge_samples(batch):\r\n if len(batch['a']) == 1:\r\n batch['c'] = [batch['a'][0]]\r\n batch['... | 2024-01-07T02:46:50Z | 2025-03-08T09:46:05Z | 2024-01-11T16:10:31Z | NONE | null | null | {
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} | ### Describe the bug
Scenario:
- Interleaving two iterable datasets of unequal lengths (`all_exhausted`), followed by a batch mapping with batch size 2 to effectively merge the two datasets and get a sample from each dataset in a single batch, with `drop_last_batch=True` to skip the last batch in case it doesn't ha... | {
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